import numpy as np

llf = np.array([-240.79351748413])

nobs = np.array([             202])

k = np.array([               4])

k_exog = np.array([               1])

sigma = np.array([ .79349479007541])

chi2 = np.array([ 31643.977146904])

df_model = np.array([               3])

k_ar = np.array([               1])

k_ma = np.array([               2])

params = np.array([ .99502750401315, 
                   -.68630179255403, 
                   -.19840894739396, 
                    .79349479007541])

cov_params = np.array([ .00010016992219, 
                       -.00021444523598, 
                       -.00023305572854, 
                       -6.768123591e-06, 
                       -.00021444523598, 
                        .00104186449549, 
                        .00023669747281, 
                        3.902897504e-06, 
                       -.00023305572854, 
                        .00023669747281, 
                         .0010810935718, 
                        .00020764808165, 
                       -6.768123591e-06, 
                        3.902897504e-06, 
                        .00020764808165, 
                         .0002668504612]).reshape(4,4)

xb = np.array([               0, 
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y = np.array([np.nan, 
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resid = np.array([np.nan, 
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yr = np.array([np.nan, 
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                .64556515216827, 
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                .64800941944122, 
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                .72153580188751, 
                .51439893245697, 
               -.19535164535046, 
                .97296363115311, 
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                3.4810900688171, 
               -1.9800295829773, 
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                1.0229095220566, 
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               -4.1955056190491, 
               -5.2458953857422, 
                .75588232278824, 
                 .7813817858696, 
                .81318950653076])

mse = np.array([ 1.4407075643539, 
                 1.4407075643539, 
                 .79720854759216, 
                 .75209444761276, 
                 .71109557151794, 
                 .68920749425888, 
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                  .6302387714386, 
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                 .63003975152969, 
                 .62996637821198, 
                 .62990635633469, 
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                 .62981688976288, 
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                 .62963396310806, 
                 .62963396310806, 
                 .62963396310806])

icstats = np.array([             202, 
                    np.nan, 
                    -240.79351748413, 
                                   4, 
                     489.58703496826, 
                     502.82010575786])

class Bunch(dict):
    def __init__(self, **kw):
        dict.__init__(self, kw)
        self.__dict__  = self


results = Bunch(llf=llf, nobs=nobs, k=k, k_exog=k_exog, sigma=sigma, chi2=chi2, df_model=df_model, k_ar=k_ar, k_ma=k_ma, params=params, cov_params=cov_params, xb=xb, y=y, resid=resid, yr=yr, mse=mse, icstats=icstats, )

